Estimates of HVAC filtration efficiency for fine and ultrafine particles of outdoor origin

Department of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA

Received 31 July 2014, Revised 26 August 2014, Accepted 3 September 2014, Available online 4 September 2014.

Abstract

This work uses 194 outdoor particle size distributions (PSDs) from the literature to estimate single-pass heating, ventilating, and air-conditioning (HVAC) filter removal efficiencies for PM2.5 and ultrafine particles (UFPs: <100 nm) of outdoor origin. The PSDs were first fitted to tri-modal lognormal distributions and then mapped to size-resolved particle removal efficiency of a wide range of HVAC filters identified in the literature. Filters included those with a minimum efficiency reporting value (MERV) of 5, 6, 7, 8, 10, 12, 14, and 16, as well as HEPA filters. We demonstrate that although the MERV metric defined in ASHRAE Standard 52.2 does not explicitly account for UFP or PM2.5 removal efficiency, estimates of filtration efficiency for both size fractions increased with increasing MERV. Our results also indicate that outdoor PSD characteristics and assumptions for particle density and typical size-resolved infiltration factors (in the absence of HVAC filtration) do not drastically impact estimates of HVAC filter removal efficiencies for PM2.5. The impact of these factors is greater for UFPs; however, they are also somewhat predictable. Despite these findings, our results also suggest that MERV alone cannot always be used to predict UFP or PM2.5 removal efficiency given the various size-resolved removal efficiencies of different makes and models, particularly for MERV 7 and MERV 12 filters. This information improves knowledge of how the MERV designation relates to PM2.5 and UFP removal efficiency for indoor particles of outdoor origin. Results can be used to simplify indoor air quality modeling efforts and inform standards and guidelines.

Introduction

Epidemiology studies have consistently shown associations between increased adverse health effects and elevated outdoor fine particulate matter mass (PM2.5) (Brook et al., 2010, Miller et al., 2007, Pope and Dockery, 2006, Pope et al., 2002) and ultrafine particle number concentrations (UFPs: particles <100 nm in size) (Penttinen et al., 2001, Stölzel et al., 2007, Von Klot et al., 2002, Weichenthal et al., 2007). However, the majority of exposure to fine and ultrafine particles of outdoor origin often occurs inside buildings (Allen et al., 2004, Bhangar et al., 2011, Kearney et al., 2011, Meng et al., 2009, Meng et al., 2005). This is because outdoor particles can penetrate indoors (Chen and Zhao, 2011) and people in industrialized countries spend much of their time indoors (Jenkins et al., 1992, Klepeis et al., 2001). Indoor particle control technologies such as stand-alone air cleaners and particle filters installed in central heating, ventilating, and air-conditioning (HVAC) systems are being increasingly relied upon to reduce indoor concentrations of particles of both indoor and outdoor origin (Brown et al., 2014, Howard-Reed et al., 2003, MacIntosh et al., 2010, MacIntosh et al., 2008, Offermann et al., 1985, Riley et al., 2002, Stephens and Siegel, 2012a, Stephens and Siegel, 2013, Wallace et al., 2013, Wallace et al., 2004, Zaatari et al., 2014).

Although much of the health concerns with outdoor particulate matter are associated with PM2.5 and, to a lesser extent, UFPs, common HVAC filter test standards do not explicitly account for either of these measures when evaluating particle removal efficiency (ASHRAE, 2012, CEN, 2012). Rather, they tend to characterize removal efficiency on a size-resolved basis, as is appropriate for fibrous filter media because filtration efficiency varies widely by particle size (Hinds, 1999a). For example, the most widely used particle filtration test standard in the U.S., ASHRAE Standard 52.2, classifies the single-pass particle removal efficiency of HVAC filters based on the minimum removal efficiency for three particle size bins (0.3–1, 1–3, and 3–10 μm) under various loading conditions in a laboratory test facility (ASHRAE, 2012). Minimum removal efficiency values in these three size bins are then used to assign HVAC filters a single efficiency metric called the Minimum Efficiency Reporting Value (MERV). The assignment of the MERV metric to minimum particle removal efficiencies for the three size bins in Standard 52.2 is provided in Table S1 in the SI.

Three shortcomings are apparent in ASHRAE Standard 52.2 and its resulting MERV metric. First, although particle size bins 1 and 2 evaluate removal efficiency for particle sizes within the PM2.5 size range (0.3–1.0 and 1.0–3.0 μm, respectively), there is no explicit reference to PM2.5 mass concentration removal efficiency. PM2.5 mass removal efficiency will vary highly depending on particle size distribution (PSD) and particle density (El Orch et al., 2014, Hanley et al., 1994, Riley et al., 2002). Although one recent study found strong correlations between E1 removal efficiency and indoor and outdoor origin PM2.5 mass removal efficiency (Zaatari et al., 2014), it was limited by a small number of outdoor PSDs and PM2.5 mass concentrations. A larger number of outdoor PSDs is important to capture because they can vary widely by location (e.g., rural, urban, and close to traffic), season (e.g., winter, spring, summer, and fall), or even time of day (e.g., morning, afternoon, and nights) (Costabile et al., 2009, Jaenicke, 1993, Kelly et al., 2011, Puustinen et al., 2007, Seinfeld and Pandis, 2006, Virtanen et al., 2006).

Second, ASHRAE Standard 52.2 does not evaluate UFP removal, although there is some evidence to suggest that UFP removal efficiency tends to increase with MERV (El Orch et al., 2014, Hecker and Hofacre, 2008, Stephens and Siegel, 2012b). UFPs are important to capture because the vast majority of outdoor particles actually exist in the UFP size range (Hinds, 1999b, Seinfeld and Pandis, 2006). Finally, because of the lack of removal efficiency requirements for particle size bins 1 and 2 for many MERV assignments (i.e., MERV 1-8 for E2 and MERV 1-12 for E1), two different filters with the same MERV can have vastly different efficiencies for particles smaller than 3 μm (and particularly so for particles smaller than 1 μm). As an example, Hecker and Hofacre (2008) reported removal efficiency of different MERV 12 filters measured in laboratory tests to range from as low as 10% to as high as 70% for ∼100 nm particles.

Given these issues, there remains a need to improve knowledge of how different MERV filters perform in removing PM2.5 and UFPs of outdoor origin. Improvements in knowledge of how MERV relates to PM2.5 and UFP efficiency for outdoor particles can simplify indoor air quality modeling efforts and improve our ability to inform standards and guidelines. For example, there are currently draft proposals to increase filtration requirements in ASHRAE Standards 62.1 (ASHRAE, 2010) and 62.2 (ASHRAE, 2013) based on health outcomes of PM2.5 (and possibly UFPs). Given these limitations, the objective of this paper is to provide estimates of particle removal efficiency of various HVAC filters for PM2.5 and UFP of ambient origin. We achieved this by mapping 194 outdoor PSDs found in the literature to size-resolved particle removal efficiencies of a wide range of HVAC filters, including MERV 5, 6, 7, 8, 10, 12, 14, 16 and HEPA filters. We use the results to explore statistical distributions of outdoor-origin PM2.5 and UFP removal efficiencies. We also test the sensitivity of our results to key assumptions such as particle density and modification by typical size-resolved infiltration factors in residences (in the absence of HVAC filtration), which alter outdoor PSDs as particles transport indoors.

Section snippets

Selecting outdoor particle size distributions (PSDs)

To make our results as generalizable as possible, we first performed a literature review to identify previous studies that reported long-term measurements of outdoor PSDs across the world. Eight key studies were identified that reported outdoor PSDs measured for a duration of at least one year, leading to a total of 194 PSDs in more than 30 locations (Asmi et al., 2011, Birmili et al., 2001, Costabile et al., 2009, Hussein et al., 2004, Sabaliauskas et al., 2012, Stanier et al., 2004, Wåhlin,

Outdoor PSDs

Full summary tables of the references used, their measurement locations and durations, time period of averaging, and tri-modal distribution fit parameters (GM, GSD, and number concentrations) of all 194 collected distributions are provided in the SI (Tables S3 and S4). Table 1 shows a brief summary of the eight studies used herein. The majority of the outdoor PSDs came from two large studies (Asmi et al., 2011, Hussein et al., 2004), while the combination of all 194 PSDs includes a wide variety

Conclusion

In this work we fit 194 outdoor tri-modal particle size distributions (PSDs) from locations across the world and used those PSDs to estimate outdoor-origin UFP and PM2.5 removal efficiencies for 11 generally representative HVAC filters using information from existing literature. We demonstrate that although the MERV metric does not explicitly account for UFP or PM2.5 removal efficiency, both tend to increase in efficiency with increasing MERV. The geometric mean (GM) estimates of UFP removal

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